A VLSI Model of Muscular Mechanics, Architecture, and Control

肌肉力学、结构和控制的 VLSI 模型

• 批准号: 9872759
• 负责人: Stephen DeWeerth
• 金额: $ 25.24万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1998
• 资助国家: 美国
• 起止时间: 1998-09-15 至 2002-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9872759&HistoricalAwards=false
• 关键词: VLSI; Model; Muscular; Mechanics; Architecture

9872759DeWeerthThe objective of this research is to explore the applicability of biologically-based muscular control to the implementation of artificial systems. This goal will be pursued through the development of a cross-bridge-level model of muscle, implemented using analog very large-scale integrated (aVLSI) circuits. The three specific aims of the research are to: (1) develop an aVLSI model of sarcomeres, the fundamental functional components of muscle, based upon the Huxley and Zahalak formulations of crossbridge dynamics, (2) aggregate these model sarcomeres to create muscle fibers and muscle units, and evaluate the role of series/paralled architecture and parameter heterogeneity of emergent functionality, and (3) combine model muscle units (incorporating activation dynamics) and motoneurons to form motor units, and create a computer controlled muscular control system consisting of an array of these motor units.

9872759 DeWeerth本研究的目的是探索基于生物学的肌肉控制人工系统的实施的适用性。 这一目标将通过开发一个跨桥级的肌肉模型来实现，该模型使用模拟超大规模集成电路（aVLSI）来实现。 研究的三个具体目标是：（1）基于交叉桥动力学的Huxley和Zahalak公式，开发肌节（肌肉的基本功能组分）的aVLSI模型，（2）聚集这些模型肌节以产生肌纤维和肌肉单元，并评估串联/并联结构和涌现功能的参数异质性的作用，以及（3）将联合收割机模型肌肉单元（包括激活动力学）和运动神经元组合以形成运动单元，并创建由这些运动单元的阵列组成的计算机控制的肌肉控制系统。